星载DBF接收天线误差校正算法

 提出了一种改进的基于子空间的星载数字波束形成（DBF）接收天线的误差校正方法。根据阵列互耦效应主要取决于阵元间的几何距离这一特点,利用阵元空间排布的对称性简化了天线的互耦模型,将天线的互耦效应及射频(RF)通道失配统一为通道间的幅相不一致。通过在基带注入特定的阵内相位差降低了子空间算法的计算复杂度。在建立7单元正六边形平面阵仿真模型的基础上,分析不同信噪比(SNR)环境下校正算法的性能,经比较得出可以通过提高发射信号功率改善误差估计的精度,验证了算法的有效性。仿真分析结果表明该算法在卫星通信系统中有一定的工程应用价值。     

二维耦合振荡器有源天线阵相位误差特性及其对天线方向图的影响

分析了二维耦合振荡器有源天线阵的相位误差特性及其对天线方向图的影响。分析结果表明,二维耦合振荡器有源天线阵的相位误差具有积累特性;阵元自由振荡频率的误差越小,阵元锁相带宽越大,波束指向误差越小;随着阵元自由振荡频率误差的增大,天线阵增益降低,副瓣电平抬高。     

未知互耦条件下混合信号波达方向估计

阵列天线互耦对导向矢量的扰动以及信号相干性对数据协方差矩阵造成的秩损,使得基于子空间正交性原理的超分辨波达方向估计(Direction-of-Arrival,DOA)算法性能恶化,甚至失效。针对这一问题,提出一种在相干与非相干信号混合状态下无需阵列互耦补偿的特征矢量平滑DOA估计算法。该算法对部分阵元接收数据的协方差矩阵特征分解,将得到的特征矢量平滑处理后构造等效协方差矩阵,抑制阵列互耦影响的同时完成混合信号DOA估计。在阵列互耦和信号相干性均未知的条件下,正确估计了信号DOA,无需互耦参数估计或补偿。计算机仿真结果验证了算法的有效性。     

基于电磁带隙结构的共形阵列互耦抑制方法

在共形天线阵列结构中,表面波是互耦的重要来源,本文利用电磁带隙结构对共形天线阵中的表面波进行抑制,研究了共形条件下的电磁带隙结构,并将其应用到共形天线阵列中,有效抑制了天线单元间的互耦.     

用于非线性有源天线的耦合锁相环特性分析

为实现非线性有源天线阵波束扫描,研究了互耦锁相环(PLL)的基本特性。通过对互耦PLL的相位动力学方程的稳定性进行分析,建立了具有延时的阵列模型;通过调节环路延时,互耦PLL不同的非线性动力学特性;采用四单元的耦合锁相环阵列实验电路对理论分析进行了验证,从而提出了在设计基于耦合锁相环的非线性有源天线时,必须对环路延时进行控制,防止环路出现振荡和混沌现象。     

基于仿生原理的超角分辨天线阵设计

以昆虫的声波超分辨定位原理为基础,提出了对应的电小仿生天线阵系统,增强了电小天线阵的角度分辨能力。在具体设计过程中,运用奇偶模分析方法,推导出在不损失功率的条件下,相位差放大因子与天线阵元的阻抗和互耦之间的约束关系,与此同时提出了可获得更大相位差放大因子的设计方法。以此理论为基础,设计了一个二元电小天线阵,仿真并测试了其角度分辨性能,测试结果与理论分析一致,有力地验证了仿生天线阵理论的正确性与设计方法的有效性。     

平滑重构稀疏贝叶斯学习测向算法

针对二级嵌套阵列中的紧凑阵元结构易受互耦效应影响的问题,提出了两种不同的嵌套阵列结构改进方法：连续平移嵌套阵列和间隔平移嵌套阵列。通过对原有二级嵌套阵列阵元位置进行调整,形成了两种不同的平移嵌套阵列结构,这两种结构对应的差分共阵均"无孔",并且测向自由度和阵列稀疏度均大于原二级嵌套阵列。针对嵌套阵列的差分共阵测向模型为单测量矢量模型,稀疏贝叶斯学习测向算法复杂度高的问题,提出了平滑重构稀疏贝叶斯学习算法。该算法通过空间平滑重构将单测量矢量模型变为多测量矢量模型,降低了观测矩阵的维度,减小了计算复杂度。算法求解时,通过对变换后的观测矩阵进行奇异值分解,进一步降低了观测矩阵维度,利用稀疏贝叶斯学习算法估计辐射源角度。仿真表明,在信噪比和采样数相同的条件下,该算法收敛速度比单测量矢量稀疏贝叶斯学习（SMV-SBL）算法快,且测向精度高于SMV-SBL算法和空间平滑多重信号分类（MUSIC）算法;存在互耦影响时,两种平移嵌套阵列比原嵌套阵列受互耦影响小。     

裂缝行波线阵天线设计与实践

介绍了矩形波导宽边纵向裂缝行波阵列分析设计公式, 计入了裂缝单元关于波导内部与外部之间的互耦效应; 给出了裂缝单元在波导宽边中心线一侧排列和裂缝单元在矩形薄波导的宽边中心线交错排列的线阵的设计与实验结果; 详细讨论了阵列终端接匹配负载和短路状态下天线方向图和输入端匹配状态。理论数值计算与实验结果吻合     

改进的多目标粒子群算法综合激励受限的共形阵

针对激励限制下的共形阵功率方向图综合问题,提出一种改进的多目标粒子群优化(IMOPSO)算法.将共形阵列在激励限制条件下的综合命题,转化为激励优化和功率方向图赋形的多目标优化命题.IMOPSO算法通过引入多子群寻优、粒子聚焦距离优选、非支配解集修剪以及新生粒子微扰复制等机制,显著提高了传统多目标粒子群优化(MOPSO)算法所构建Pareto解集的优越性和散布性.IMOPSO算法成功用于12元微带柱面共形阵非赤道面的方向图综合,获得了不同约束条件下最优余割平方波束方向图综合结果集合,综合过程考虑了各阵元的互耦作用,为规划共形相控阵的激励限制提供了极有价值的参考.     

基于遗传算法的平面相控阵天线综合

利用遗传算法对平面相控阵天线进行了综合，在一定的频率范围内对天线阵的阵元间距、馈电流幅度和相位进行了优化。这种方法在抑制副瓣电平的同时，使天线阵的相对带宽得到了较大的提高。良好的仿真结果表明，该遗传算法在阵列天线方向图综合中的应用是有效的，有良好的应用前景。     

Wideband array antenna concept

This presents a unique wideband array concept that includes a wideband array aperture incorporating radiating elements of different sizes and inter-element spacings. The array is a fully-filled aperture consisting of a core region surrounded by several layers of radiating elements which increase in size. By proper selection of the core region and the number of layers, one can form a beam with specified beamwidth over a five to one frequency range. The proposed concept considerably reduces the cost and complexity by decreasing the effective number of radiating elements and the corresponding receive or transmit modules. Numerical simulation results, ignoring the mutual coupling effects, are presented for array patterns at several frequencies to prove the concept. A possible beamforming concept is also included. Additional work is planned to prove the viability of the concept by taking the mutual coupling into account.     

Mutual coupling effects and their reduction in wideband directionof arrival estimation

The performance of multiple signal classification (MUSIC) algorithm using three different inputs over a wideband of frequencies is considered. These inputs are: 1) ideal voltages, 2) actual voltages which include coupling effects and are obtained with the method or moments, and 3) corrected voltages which are obtained from the actual voltages so that the mutual coupling effects are removed. Linear arrays of dipoles, sleeve dipoles, and spiral antennas are considered over 200 MHz to 400 MHz band     

口径耦合微带天线互耦时域有限差分法分析

在阵列天线中,互耦是阵列性能下降的一个重要因素,对互耦进行正确的评估、计算,有助于深入了解阵列特性并指导设计工作.采用时域有限差分法计算了口径耦合微带天线互耦系数,天线建模中引入非均匀网格和电阻性电压源,微带线与馈源用阶梯过渡来连接,在保证计算精度的前提下,计算空间和计算机时间大大减少,计算结果与矩量法及测量结果基本一致.     

一种宽带阵列幅相与互耦误差联合校正算法

宽带数字阵列雷达接收通道中存在随频率变化的幅相误差和互耦误差,会严重影响雷达性能。针对这一问题,提出了一种宽带数字阵列幅相与互耦误差联合校正算法。首先选取通带内多个离散频点,对于每个频点,将幅相误差和互耦误差作为一个整体,采用基于子空间原理的窄带校正算法估计其阵列失真参数,并计算校正矩阵;然后将其组合起来,构成频域离散校正矩阵;最后基于最小二乘准则,设计了宽带有限长脉冲响应(FIR)校正滤波器矩阵。利用该矩阵,可实现通带范围内任意带宽入射信号的校正。计算机仿真实验验证了该算法的有效性。对实测数据的处理结果表明该算法在宽带数字阵列雷达系统中具有实用价值。     

Effects of mutual coupling on the performance of STAP antennaarrays

The effect of mutual coupling on the performance of space-time adaptive processing (STAP) antenna arrays is investigated. A signal model that includes the effects of mutual coupling is derived and used to compute the optimum solution for the fully adaptive and a variety of partially adaptive algorithms. The simulations indicate that if the mutual coupling is not properly accounted for there is significant degradation of the signal-to-interference-plus-noise ratio (SINR). In addition, the clutter notch is widened resulting in a larger minimum detectable velocity (MDV) of the target. When the mutual coupling is properly accounted for, the performance can be restored to the ideal level. However, STAP algorithms, in general, are very sensitive to errors in the mutual coupling matrix, requiring a very complete knowledge of this matrix for good performance. Of all the algorithms considered here, beam space algorithms appear to be the most robust with respect to uncertainties in the mutual coupling matrix     

DOA estimation under unknown mutual coupling and multipath

We propose a new method for direction of arrival (DOA) estimation in the presence of multipath propagation and mutual coupling for a frequency hopping (FH) system. With the use of pilot symbols and assuming perfect time-frequency synchronization for a linear array, we take mutual coupling and multipath propagation into account, and derive a maximum likelihood (ML) estimator for both the mutual coupling matrix and DOA estimation. We then formulate an iterative alternating minimization (AM) algorithm for finding the mutual coupling and DOA parameters in an alternate manner. Simulation results illustrating the performance of the algorithm and comparison with the Cramer-Rao bound (CRB) are also presented.     

低中等雷诺数超声速轴对称射流气动声场

采用线性抛物化稳定性方程(LPSE)方法对低、中等雷诺数条件下的超声速轴对称射流进行了研究。结果表明:射流中不稳定波的增长特性决定了声辐射的特性。在低雷诺数条件下，不稳定波的频率范围较窄，且由于不稳定波的增长区间较长，因此声辐射的范围较宽，声源不集中，声辐射的方向角不明确。在中雷诺数条件下，不稳定波的频率范围较宽，且由于不稳定波的增长区间较短，因此声辐射的范围较窄，声源集中，声辐射的方向角较明确；且随着斯特劳哈尔数增加，声辐射的方向角增加。在低雷诺数条件下，射流基本流的法向速度对射流气动声场的影响较弱，而在中等雷诺数条件下，其对射流的气动声场影响较强。      

DOA estimation and mutual coupling calibration with the SAGE algorithm

In this paper, a novel algorithm is presented for direction of arrival（DOA） estimation and array self-calibration in the presence of unknown mutual coupling. In order to highlight the relationship between the array output and mutual coupling coefficients, we present a novel model of the array output with the unknown mutual coupling coefficients. Based on this model, we use the space alternating generalized expectation-maximization（SAGE） algorithm to jointly estimate the DOA parameters and the mutual coupling coefficients. Unlike many existing counterparts, our method requires neither calibration sources nor initial calibration information. At the same time,our proposed method inherits the characteristics of good convergence and high estimation precision of the SAGE algorithm. By numerical experiments we demonstrate that our proposed method outperforms the existing method for DOA estimation and mutual coupling calibration.